401 data-"https:" "https:" "https:" "https:" "Lawrence Berkeley National Laboratory Physics" positions in Switzerland

  • ETH Zurich | Switzerland | 10 days ago

    We look forward to receiving your online application including a: CV publication list statement of research interests and the names and contact information of at least two references. Please note

  • ETH Zurich | Switzerland | about 5 hours ago

    of enrollment Please note that we exclusively accept applications submitted through our online application portal. Applications via email or postal services will not be considered. Further information about the

  • ETH Zurich | Switzerland | about 5 hours ago

    for the physically informed processing and joint analysis of time-series data. The successful candidate will conduct observational programmes with the SPECULOOS facility and actively participate in the scientific

  • ETH Zurich | Switzerland | about 5 hours ago

    publications for this position highlighted Reference letters and/or contact details for three academic and/or professional references (You will be notified before they are contacted) Further information about

  • ETH Zurich | Switzerland | about 5 hours ago

    100%, Basel, permanent Would you like to not only manage research data, but also actively shape the future of research data management (RDM)? Do you think strategically, act with technical expertise

  • ETH Zurich | Switzerland | about 5 hours ago

    , including data management and the maintenance of computational infrastructure and software. Project background The position is part of the Institute of Microbiology at ETH Zurich and closely linked

  • ETH Zurich | Switzerland | about 5 hours ago

    Required Experience: PhD in Geodesy, Geomatics, Aerospace Engineering, Signal Processing, or a related field Proven experience in GNSS data analysis and processing Very good programming skills (e.g., Python

  • ETH Zurich | Switzerland | about 5 hours ago

    of mathematics, computer science, and evolutionary biology. We develop methods to understand evolutionary, ecological, epidemiological, and developmental processes on different scales based on genetic data. In our

  • University of Zurich | Switzerland | about 24 hours ago

    for projects that show unconventional thinking and introduce a unique approach. The focus is on promising ideas of high originality for which preliminary data are not necessarily available (high-risk research

  • Empa | Switzerland | about 24 hours ago

    processing (experimental planning, setup, measurements, analysis) Conceptualization and realization of novel setups (hardware integration, optical setups, etc.) Software development (data acquisition and

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